Evolvable Modeling: structural adaptation through hierarchical evolution for 3-D model-based vision

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Thang C. Nguyen and David E. Goldberg and 
                 Thomas S. Huang",
  title =        "Evolvable Modeling: structural adaptation through
                 hierarchical evolution for {3-D} model-based vision",
  institution =  "Beckman Institute and Coordinated Science Laboratory,
                 University of Illinois",
  year =         "1993",
  address =      "Urbana, IL 61801, USA",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/gp-3D-modeling.ps.Z",
  size =         "5 pages",
  abstract =     "The paper describes a platform to evolve 3-D models of
                 jet planes, with ideas from both GA and GP. It is meant
                 to help in model-acquisition, generation and
                 refinement, mainly for model-based 3-D object
                 recognition (a computer vision problem), rather than
                 for high-resolution computer graphics. Nevertheless,
                 the main idea is to evolve 3-D structures suitable for
                 graphic rendering and other uses. It has been
                 implemented successfully in Mathematica and the paper
                 is an abstract submitted to ACCV'93.",
  notes =        "See also \cite{kinnear:nguyen} and

Genetic Programming entries for Thang C Nguyen David E Goldberg Thomas S Huang